Data mining in agriculture
Data Mining in Agriculture represents a comprehensive effort to provide graduate students and researchers with an analytical text on data mining techniques applied to agriculture and environmental related fields. This book presents both theoretical and practical insights with a focus on presenting t...
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| Auteurs principaux: | , , |
|---|---|
| Andre forfattere: | , |
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Udgivelse: | 1st ed. 2009. |
| Serier: | Springer Optimization and Its Applications
34 |
| Fag: | |
| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
Description d'après consultation du 15 novembre 2011 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Data mining in agriculture, by Antonio Mucherino,... Petraq J. Papajorgji,... Panos M. Pardalos,..., Dordrecht, Springer, 2009, 1 vol. (XVIII-272 p.), Springer optimization and its applications, 978-0-387-88614-5 • Data Mining in Agriculture, Texte imprimé, 9780387886954 • Data Mining in Agriculture, Texte imprimé, 9781461429357 |
Indholdsfortegnelse:
- to Data Mining Statistical Based Approaches Clustering by -means -Nearest Neighbor Classification Artificial Neural Networks Support Vector Machines Biclustering Validation Data Mining in a Parallel Environment Solutions to Exercises